import gradio as gr from huggingface_hub import InferenceClient import os from threading import Event hf_token = os.getenv("HF_TOKEN") stop_event = Event() def get_model_response(client, messages, max_tokens, temperature, top_p): try: response = client.chat_completion( messages, max_tokens=max_tokens, temperature=temperature, top_p=top_p, stream=True ) full_response = "" for message in response: if stop_event.is_set(): break token = message.choices[0].delta.content if hasattr(message.choices[0], 'delta') else message.choices[0].text if token: full_response += token yield full_response stop_event.clear() except Exception as e: yield f"모델 추론 실패: {str(e)}" def respond(message, history, system_message, max_tokens, temperature, top_p, selected_model): stop_event.clear() try: client = InferenceClient(model=selected_model, token=hf_token) messages = [{"role": "system", "content": system_message}] messages.extend([{"role": "user" if i % 2 == 0 else "assistant", "content": m} for h in history for i, m in enumerate(h) if m]) messages.append({"role": "user", "content": message}) response = "" for partial_response in get_model_response(client, messages, max_tokens, temperature, top_p): response = partial_response yield "", history + [(message, response)] except Exception as e: yield "", history + [(message, f"오류 발생: {str(e)}")] def stop_generation(): stop_event.set() return "생성이 중단되었습니다." models = { "deepseek-ai/DeepSeek-Coder-V2-Instruct": "(한국회사)DeepSeek-Coder-V2-Instruct", "meta-llama/Meta-Llama-3.1-8B-Instruct": "Meta-Llama-3.1-8B-Instruct", "mistralai/Mixtral-8x7B-Instruct-v0.1": "Mixtral-8x7B-Instruct-v0.1", "CohereForAI/c4ai-command-r-plus": "Cohere Command-R Plus" } with gr.Blocks() as demo: chatbot = gr.Chatbot(height=600) with gr.Row(): msg = gr.Textbox( scale=4, label="메시지 입력", lines=3, placeholder="메시지를 입력하세요. 엔터 키로 줄바꿈, Shift+Enter로 전송" ) send = gr.Button("전송", scale=1) with gr.Row(): regenerate = gr.Button("🔄 재생성") stop = gr.Button("🛑 생성 중단") clear = gr.Button("🗑️ 대화 내역 지우기") with gr.Accordion("추가 설정", open=True): system_message = gr.Textbox( value="너는 나의 최고의 비서이다.\n내가 요구하는것들을 최대한 자세하고 정확하게 답변하라.\n반드시 한글로 답변할것.", label="시스템 메시지", lines=10 ) max_tokens = gr.Slider(minimum=1, maximum=2000, value=500, step=100, label="최대 새 토큰 수") temperature = gr.Slider(minimum=0.1, maximum=2.0, value=0.7, step=0.05, label="온도") top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.90, step=0.05, label="Top-p (핵 샘플링)") model = gr.Radio(list(models.keys()), value=list(models.keys())[0], label="언어 모델 선택", info="사용할 언어 모델을 선택하세요") # JavaScript를 사용하여 키 입력 동작 커스터마이즈 msg.js = """ function(e) { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); return; } if (e.key === 'Enter' && e.shiftKey) { e.preventDefault(); document.getElementById('component-3').click(); } } """ # 이벤트 핸들러 설정 msg.submit(respond, inputs=[msg, chatbot, system_message, max_tokens, temperature, top_p, model], outputs=[msg, chatbot]) send.click(respond, inputs=[msg, chatbot, system_message, max_tokens, temperature, top_p, model], outputs=[msg, chatbot]) regenerate.click(lambda h, s, m, t, p, mod: respond(h[-1][0] if h else "", h[:-1], s, m, t, p, mod), inputs=[chatbot, system_message, max_tokens, temperature, top_p, model], outputs=[msg, chatbot]) stop.click(stop_generation, inputs=[], outputs=[msg]) clear.click(lambda: (None, None), outputs=[msg, chatbot]) if __name__ == "__main__": if not hf_token: print("경고: HF_TOKEN 환경 변수가 설정되지 않았습니다. 일부 모델에 접근할 수 없을 수 있습니다.") demo.launch(share=True)